Dr. Donald Leonhard-MacDonald
Inhaber, Geschäftsführer, Leonhard-MacDonald Ventures GmbH
München, Deutschland
Werdegang
Berufserfahrung von Donald Leonhard-MacDonald
Bis heute 9 Jahre und 3 Monate, seit Jan. 2015
Geschäftsführer
Leonhard-MacDonald Ventures GmbH
We have extensive experience in research commercialization as well as in technology and entrepreneurship education. We advise & train entrepreneurs and investors on high-tech venture creation and trending technologies. We also offer coding courses to allow entrepreneurs and makers to build their own projects.
3 Jahre und 9 Monate, Mai 2011 - Jan. 2015
Director
Ars Argentum
We make innovative software merging real-time data with the latest machine learning and natural language processing techniques. We also teach non-IT founders how take their first steps towards building and managing the IT component of their startup. Our special expertise lies in research commercialisation for STEM researchers.
2011 - 2012
Post Doctoral Researcher
University of Edinburgh
Develop high performance computer programs for BioInformatics applications mostly focused on using Storm, Hadoop, MPI and Zookeeper with the Open Microscopy Environment.
2006 - 2011
Research Developer
University Of Dundee
Develop content management software to store and analyse fluorescence and brightfield Microscopy images. see http://www.openmicroscopy.org.uk Develop system for automated drug screening (both first and second level screens). Published several peer reviewed papers in Nature Methods, Journal Cell Biology and Methods in Cell Biology.
2001 - 2006
Lecturer in Computer Science
University of Paisley
Lecturer in Computer Science developing and running a number of courses on Programming, Machine Learning, Computer Graphics and Databases. Published over 40 peer reviewed papers. Supervising PhD students.
Ausbildung von Donald Leonhard-MacDonald
1998 - 2001
Computer Science
University of Paisley
Specialising in Machine Learning on Remote Sensing. I specialised in developing methods for the visualisation of high dimensional data.
Sprachen
Deutsch
Grundlagen
Englisch
Muttersprache